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Gemini 3.6 Flash vs Mistral Small 3.1 24B

Mistral Small 3.1 24B costs 6.8x less per output token than Gemini 3.6 Flash ($0.555 vs $3.75 per million). Updated October 22, 2026; 36 benchmarks have a result for both.

Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
36
Mistral Small 3.1 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.555
0
vs boards won of 36 shared

Gemini 3.6 Flash or Mistral Small 3.1 24B: which to pick

Only Gemini 3.6 Flash has a coding score, 62.5 on the Vibe Coding Index; Mistral Small 3.1 24B has none, so the two cannot be ranked on coding.

Pick Mistral Small 3.1 24B for output tokens 6.8x cheaper ($0.555 vs $3.75 per million).

Shared results
36
Gemini 3.6 Flash only
73
Mistral Small 3.1 24B only
2
Like-for-like categories
5 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemini 3.6 Flash 62.5 from 4 benchmarks, Mistral Small 3.1 24B not benchmarked.
Widest category
Math, 38.9 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: Chinese: Gemini 3.6 Flash 1531 against Mistral Small 3.1 24B 1253, 46.4 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against Mistral Small 3.1 24B $0.555 per million output tokens, 6.8x apart.
Context window
Gemini 3.6 Flash takes 1.05M tokens, Mistral Small 3.1 24B 128K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGemini 3.6 FlashBarsMistral Small 3.1 24BTies
Coding20
Reasoning50
Math20
Knowledge40
General230
All shared boards360
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Gemini 3.6 Flash and Mistral Small 3.1 24B
BenchmarkGemini 3.6 FlashMistral Small 3.1 24BLeader
LMArena WebDev1538Not measuredOnly Gemini 3.6 Flash measured
AA Coding Index69.2Not measuredOnly Gemini 3.6 Flash measured
LiveCodeBench (Vals AI)88.1%Not measuredOnly Gemini 3.6 Flash measured
SWE-bench Verified (Vals AI)79.6%Not measuredOnly Gemini 3.6 Flash measured
Vibe Code Bench (Vals AI)64.0%Not measuredOnly Gemini 3.6 Flash measured
Code migration (Vals AI)30.9%Not measuredOnly Gemini 3.6 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.6 Flash measured
IOI (Vals AI)35.1%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)73.8%Not measuredOnly Gemini 3.6 Flash measured
CyberBench (Vals AI)45.4%Not measuredOnly Gemini 3.6 Flash measured
SciCode53.4%Not measuredOnly Gemini 3.6 Flash measured
FrontierCode34.4%Not measuredOnly Gemini 3.6 Flash measured
WeirdML56.1%Not measuredOnly Gemini 3.6 Flash measured
ALE-Bench715.5Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: coding14911309Gemini 3.6 Flash
LMArena Text: software and IT14921301Gemini 3.6 Flash
LMArena WebDev: React1528Not measuredOnly Gemini 3.6 Flash measured
LMArena WebDev: HTML1547Not measuredOnly Gemini 3.6 Flash measured
LMArena WebDev: from an image1545Not measuredOnly Gemini 3.6 Flash measured
SciCode10.8%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 19 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemini 3.6 Flash and Mistral Small 3.1 24B
BenchmarkGemini 3.6 FlashMistral Small 3.1 24BLeader
AA Intelligence Index34.0Not measuredOnly Gemini 3.6 Flash measured
Epoch Capabilities Index154.5Not measuredOnly Gemini 3.6 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Agentic work benchmarks for Gemini 3.6 Flash and Mistral Small 3.1 24B
BenchmarkGemini 3.6 FlashMistral Small 3.1 24BLeader
AA Agentic Index29.0Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building web apps1197Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building full-stack apps1181Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building mobile apps1198Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building Android apps1204Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building games1180Not measuredOnly Gemini 3.6 Flash measured
Design Arena: HTML slides1099Not measuredOnly Gemini 3.6 Flash measured
Design Arena: PowerPoint slides1121Not measuredOnly Gemini 3.6 Flash measured
Design Arena: spreadsheets1071Not measuredOnly Gemini 3.6 Flash measured
Finance Agent (Vals AI)56.3%Not measuredOnly Gemini 3.6 Flash measured
Tax Agent Bench (Vals AI)18.0%Not measuredOnly Gemini 3.6 Flash measured
Legal Research Bench (Vals AI)25.0%Not measuredOnly Gemini 3.6 Flash measured
Excel Modeling Benchmark (Vals AI)65.4%Not measuredOnly Gemini 3.6 Flash measured
BioMysteryBench (Vals AI)58.5%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Gemini 3.6 Flash measured
APEX-Agents46.9%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Gemini 3.6 Flash and Mistral Small 3.1 24B
BenchmarkGemini 3.6 FlashMistral Small 3.1 24BLeader
GPQA Diamond93.4%Not measuredOnly Gemini 3.6 Flash measured
MMMU Pro (Vals AI)88.4%Not measuredOnly Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)92.8%Not measuredOnly Gemini 3.6 Flash measured
Humanity's Last Exam (Artificial Analysis run)40.8%Not measuredOnly Gemini 3.6 Flash measured
GPQA Diamond (Epoch AI run)94.1%Not measuredOnly Gemini 3.6 Flash measured
ARC-AGI91.2%Not measuredOnly Gemini 3.6 Flash measured
ARC-AGI-260.4%Not measuredOnly Gemini 3.6 Flash measured
Chess puzzles42.0%Not measuredOnly Gemini 3.6 Flash measured
Mystery game puzzles30.0%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: hard prompts14861278Gemini 3.6 Flash
LMArena Text: expert14901257Gemini 3.6 Flash
LMArena Text: hard prompts in English14841290Gemini 3.6 Flash
LMArena Vision: diagrams13141119Gemini 3.6 Flash
LMArena Vision: homework13141158Gemini 3.6 Flash
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemini 3.6 Flash and Mistral Small 3.1 24B
BenchmarkGemini 3.6 FlashMistral Small 3.1 24BLeader
OTIS Mock AIME94.2%Not measuredOnly Gemini 3.6 Flash measured
FrontierMath, tiers 1 to 358.9%Not measuredOnly Gemini 3.6 Flash measured
FrontierMath, tier 422.0%Not measuredOnly Gemini 3.6 Flash measured
ProofBench36.0%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: math15081261Gemini 3.6 Flash
LMArena Text: mathematical work14921271Gemini 3.6 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemini 3.6 Flash and Mistral Small 3.1 24B
BenchmarkGemini 3.6 FlashMistral Small 3.1 24BLeader
MMLU Pro89.3%Not measuredOnly Gemini 3.6 Flash measured
LegalBench (Vals AI)86.7%Not measuredOnly Gemini 3.6 Flash measured
CorpFin (Vals AI)63.3%Not measuredOnly Gemini 3.6 Flash measured
TaxEval (Vals AI)74.9%Not measuredOnly Gemini 3.6 Flash measured
MortgageTax (Vals AI)67.6%Not measuredOnly Gemini 3.6 Flash measured
MedCode (Vals AI)53.1%Not measuredOnly Gemini 3.6 Flash measured
SimpleQA Verified66.2%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: science14891265Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691267Gemini 3.6 Flash
LMArena Text: legal and government14791271Gemini 3.6 Flash
LMArena Text: business and finance14641257Gemini 3.6 Flash
FACTS Benchmark Suite65.3%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Gemini 3.6 Flash and Mistral Small 3.1 24B
BenchmarkGemini 3.6 FlashMistral Small 3.1 24BLeader
Design Arena: websites1300Not measuredOnly Gemini 3.6 Flash measured
Design Arena: UI components1294Not measuredOnly Gemini 3.6 Flash measured
Design Arena: game dev1263Not measuredOnly Gemini 3.6 Flash measured
Design Arena: data viz1289Not measuredOnly Gemini 3.6 Flash measured
Design Arena: 3D1271Not measuredOnly Gemini 3.6 Flash measured
Design Arena: all code categories1289Not measuredOnly Gemini 3.6 Flash measured
Design Arena: ASCII art1281Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index230
General benchmarks for Gemini 3.6 Flash and Mistral Small 3.1 24B
BenchmarkGemini 3.6 FlashMistral Small 3.1 24BLeader
Public Benefits Bench (Vals AI)56.6%Not measuredOnly Gemini 3.6 Flash measured
SAGE (Vals AI)48.7%Not measuredOnly Gemini 3.6 Flash measured
MedScribe (Vals AI)79.7%Not measuredOnly Gemini 3.6 Flash measured
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
Long context reasoning (AA-LCR)80.0%Not measuredOnly Gemini 3.6 Flash measured
DTBench95.5%Not measuredOnly Gemini 3.6 Flash measured
LMCA44.9%Not measuredOnly Gemini 3.6 Flash measured
Furniture assembly23.3%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text14801277Gemini 3.6 Flash
LMArena Text: instruction following14671263Gemini 3.6 Flash
LMArena Text: creative writing14661252Gemini 3.6 Flash
LMArena Vision12991136Gemini 3.6 Flash
LMArena Text: English14821295Gemini 3.6 Flash
LMArena Text: non-English14701255Gemini 3.6 Flash
LMArena Text: Chinese15311253Gemini 3.6 Flash
LMArena Text: German14801266Gemini 3.6 Flash
LMArena Text: Japanese14751208Gemini 3.6 Flash
LMArena Text: Korean14291207Gemini 3.6 Flash
LMArena Text: French15031273Gemini 3.6 Flash
LMArena Text: Spanish14761284Gemini 3.6 Flash
LMArena Text: Russian14881263Gemini 3.6 Flash
LMArena Text: Polish14731242Gemini 3.6 Flash
LMArena Text: multi-turn14811270Gemini 3.6 Flash
LMArena Text: longer queries14751299Gemini 3.6 Flash
LMArena Text: writing and language14701268Gemini 3.6 Flash
LMArena Text: entertainment and media14561250Gemini 3.6 Flash
LMArena Vision: English12951157Gemini 3.6 Flash
LMArena Vision: Chinese13571155Gemini 3.6 Flash
LMArena Vision: reading text13121132Gemini 3.6 Flash
LMArena Vision: humor12891142Gemini 3.6 Flash
LMArena Vision: captioningNot measured1153Only Mistral Small 3.1 24B measured
LMArena Vision: recognizing thingsNot measured1155Only Mistral Small 3.1 24B measured
LMArena Vision: creative writing12781123Gemini 3.6 Flash
LMArena Document1456Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.6 Flash and Mistral Small 3.1 24B
BenchmarkGemini 3.6 FlashMistral Small 3.1 24BLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 3.6 Flash$0.0026Fits in one request
Mistral Small 3.1 24B$0.0006Fits in one request

Mistral Small 3.1 24B costs less

Repository review

50K input + 3K output tokens

Gemini 3.6 Flash$0.049Fits in one request
Mistral Small 3.1 24B$0.019Fits in one request

Mistral Small 3.1 24B costs less

Agent loop

200K input + 10K output tokens

Gemini 3.6 Flash$0.188Fits in one request
Mistral Small 3.1 24B$0.076Exceeds the context window

Mistral Small 3.1 24B costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 3.6 Flash and Mistral Small 3.1 24B
SpecificationGoogle Gemini 3.6 FlashMistral Small 3.1 24B
MakerGoogleMistral AI
WeightsNo public weights listedOpen weights
ReleasedJuly 21, 2026March 17, 2025
Context window1.05M128K
Input $/Mtok$0.75$0.351
Output $/Mtok$3.75$0.555
Coding index62.5Not benchmarked
Independent measurements behind it40
Cost per solved task$1.49Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than Mistral Small 3.1 24B for coding?

Only Gemini 3.6 Flash has a coding score, 62.5 on the Vibe Coding Index; Mistral Small 3.1 24B has none, so the two cannot be ranked on coding. Pick Mistral Small 3.1 24B for output tokens 6.8x cheaper ($0.555 vs $3.75 per million).

Which is cheaper, Gemini 3.6 Flash or Mistral Small 3.1 24B?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Mistral Small 3.1 24B costs $0.351 and $0.555. Cost per solved task is known for Gemini 3.6 Flash only.

Which has the bigger context window, Gemini 3.6 Flash or Mistral Small 3.1 24B?

Gemini 3.6 Flash, with 1.05M tokens against 128K.

How many benchmarks is the Gemini 3.6 Flash vs Mistral Small 3.1 24B comparison based on?

36 benchmarks have a result for both models as of October 22, 2026. Gemini 3.6 Flash's coding index rests on 4 independent benchmarks and Mistral Small 3.1 24B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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